David Cox
21 papers · 2013–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(65)
π§¬
Topic Evolution
π
Keyword Champion
ποΈ
Keyword Collector
(122)
π
Trend Setter
π
Century Club
(21)
β‘
Prolific Year
(6)
π₯
Unstoppable
(6)
π
Conference Pioneer
Conferences
NIPS (9)
ICML (5)
CVPR (3)
AAAI (1)
ACL (1)
ICCV (1)
WACV (1)
Top co-authors
Keywords
self-supervised learning
(4)
adversarial robustness
(3)
unsupervised learning
(3)
representation learning
(3)
neural network
(2)
voice conversion
(2)
parameter-efficient fine-tuning
(2)
adversarial attack
(2)
image generation
(2)
lottery ticket hypothesis
(2)
neural architecture search
(2)
convolutional neural network
(2)
hyperparameter optimization
(2)
large language model
(2)
domain adaptation
(1)
transfer learning
(1)
continual learning
(1)
black-box optimization
(1)
nonconvex optimization
(1)
image classification
(1)
Papers
Self-Specialization: Uncovering Latent Expertise within Large Language Models
ACL 2024
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning
NIPS 2024
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
NIPS 2023
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
CVPR 2023
An Adversarial Framework for Generating Unseen Images by Activation Maximization
AAAI 2022
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers
ICML 2022
VALHALLA: Visual Hallucination for Machine Translation
CVPR 2022
Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences
WACV 2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
NIPS 2021
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
NIPS 2021
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
NIPS 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
ICML 2021
Global Prosody Style Transfer Without Text Transcriptions
ICML 2021
Unsupervised Speech Decomposition via Triple Information Bottleneck
ICML 2020
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
NIPS 2020
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
NIPS 2019
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
NIPS 2019
Self-Supervised Moving Vehicle Tracking With Stereo Sound
ICCV 2019
Tensor Switching Networks
NIPS 2016
Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images
CVPR 2014
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures
ICML 2013